After the semiconductor sector led the gains, is the capital flowing into AI orders or a macroeconomic rebound?

TL;DR

· US-Iran ceasefire and Hormuz Strait navigation framework ease energy risk, growth stocks see valuation recovery window.

· Semiconductors, Optoelectronics, Storage, and domestic manufacturing chains lead the gains, market places more emphasis on order, revenue, and capex validation.

· Related Tickers: QQQ, SOXX, SMH, NVDA, INTC, AAPL, ALAB, CRDO, COHR, MU, WDC.

According to AP and Axios reports, following the US-Iran ceasefire extension and the agreement on oil tanker passage through the Hormuz Strait framework, the US stock market rose on June 18, with the Nasdaq up 1.9%, and the semiconductor and AI hardware chains performing strongly.

Such geopolitical news can impact tech stocks, with a focus on oil prices and rate expectations. The Hormuz Strait is a critical global oil shipping passage, and if transit is blocked, oil prices and inflation expectations can quickly rise. Conversely, if the market trades on "navigation restoration, conflict de-escalation," the discount pressure on high-valuation growth stocks would ease.

The easing of Middle East risks itself does not mean a sudden improvement in AI fundamentals. It first opens a valuation recovery window. What is truly worth watching is where the funds flow after the window opens. On June 18, the leading sectors were not broad tech but rather chips, optoelectronics, storage, and some domestic manufacturing targets.

Intel was one of the most eye-catching trades that day. According to Reuters, Trump stated that Apple would collaborate with Intel to design and manufacture chips in the US. As a result, Intel's stock price surged by about 10%-11%. However, there is currently no official disclosure from Apple or Intel regarding the scale of the contract, product categories, or mass production timeline. This seems more like a policy catalyst and the elasticity release from the local manufacturing narrative.

So, the core issue of this rally is not whether "tech stocks rebound," but the nature of the rebound. Is the market re-entering AI infrastructure orders, or is it conducting a selective valuation recovery leveraging geopolitical risk calming?

Energy Risk Decline First Restores Growth Stock Valuation

For the average investor, the Hormuz Strait can be seen as the "throat" of global oil shipping. Once this passage faces blockade risk, an oil price increase will raise inflation expectations, also impacting the Fed's path and corporate costs. High-valuation tech stocks are particularly sensitive to this chain because their valuations rely more on future cash flows over the coming years.

According to AP on June 15, Brent crude fell 4.8% to $83.17, returning to early March levels. Kiplinger mentioned the same day that WTI crude dropped 4.9% to $80.75, marking the lowest settlement price since early March. The oil price drop does not indicate that inflation pressure has been alleviated, but it is enough to reduce market concerns about the trailing impact of energy shocks.

This explains why the Nasdaq and semiconductor stocks experienced a stronger rebound following the news. It was not due to a sudden change in a single company's earnings, but rather a replenishment of funds prioritized after the decrease in risk premium.

However, this chain of events cannot simply be summarized as "Geopolitical tensions eased, hence semiconductor stocks rose." A more accurate statement would be that the cooling of geopolitical risks provided external conditions for the rebound of growth assets within the technology sector. Within the tech sector, which subsector is more favored by funds still depends on whether the fundamentals can be validated.

Hardware Chain Dominates Tech Internally

This rebound resembles more of an internal reshuffling within the tech sector.

The leadership of semiconductor stocks indicates that the market is not only buying into a single top player but is repricing the AI infrastructure chain. However, if one only sees "chip stocks rising," it's easy to misjudge it as a comprehensive return to AI trades. More importantly, fund flows are more concentrated towards chip manufacturing, optical interconnects, storage, equipment, and domestic manufacturing.

The underlying shift is that AI trades have moved beyond the early stage of "the bigger the model, the better, the more GPUs, the better" into a more discerning phase. Investors are now asking not whether AI has room for imagination but who can derive real revenue from data center construction.

Optical interconnects and storage have also attracted attention, which is related to this phase. Large AI clusters cannot run solely on GPUs. High-speed data transmission is needed between thousands of chips, where optical interconnects (high-speed data center transmission) act as highways for AI clusters. As training and inference demands expand, memory bandwidth, storage capacity, and data transfer efficiency will also become bottlenecks.

Astera Labs' financial report provided the market with a more concrete point of reference. The company reported $3.084 billion in revenue for Q1 2026, a 93% year-on-year increase and a 14% increase from the previous quarter. The company attributed the growth to demand for its PCIe 6 product portfolio and AI-interconnect related products. Such data makes it easier for investors to believe that the AI hardware chain is not just a long-term narrative but has already translated into orders and revenue in data center construction.

This is also the difference between this trading cycle and a purely forward-looking tech narrative. Public market performance can support the leadership of chip and tech directions, but "which segments funds prioritize for investment" remains a market consensus that needs to be understood with constraints. At least from the market perspective, the return of risk appetite has not turned into indiscriminate chasing of all overvalued assets. Funds seem more inclined to first buy into segments that can be validated by earnings reports and capital expenditures.

Intel Trade Mixes Policy and Fundamental Imagination

Intel's big rally is most easily misunderstood.

According to Reuters, Trump said Apple will partner with Intel to design and manufacture chips in the U.S. This statement directly placed Intel in the narrative of domestic chip manufacturing. For the market, it is not just a regular customer collaboration news, but a convergence of supply chain security, reshoring of manufacturing, and U.S. chip policy.

However, this does not mean that Intel's fundamentals have been reversed by the Apple collaboration. The current and more cautious understanding is that Trump's statement provided a policy catalyst, overlaid with semiconductor risk appetite repair, amplifying Intel's resilience as a domestic manufacturing target. As for how much revenue this collaboration can bring, whether it will enter mass production in advanced processes, the timeline, and whether the gross margin will improve, more clear information will need to be provided by Apple, Intel, or subsequent financial reports.

This perfectly illustrates the divergence in this round of AI hardware revaluation. Policy catalysts can increase attention, orders and revenue can support valuation, and capital expenditure can confirm cycle strength. When all three appear simultaneously, stock price elasticity is maximized. However, if there is only a policy statement without contract scale and financial contribution, the trade is more likely to be repriced as short-term sentiment.

Intel, photonics, and memory correspond to three validation paths. Intel needs to see if policy and customer collaboration can turn into real foundry revenue. Photonics needs to see if AI cluster scaling continues to drive up bandwidth demand. Memory and storage need to see if AI server orders continue to drive prices and shipments.

If Q2 earnings reports continue to show strong capital expenditure by cloud providers, AI server orders remain high, and revenue guidance for photonics and memory companies continues to grow, this uptrend will look more like an extension of the AI infrastructure cycle. If the data falls short of expectations, the market may redefine it as a valuation correction post-geopolitical risk mitigation.

Order and Negotiation Progress Determine Market Boundaries

What needs to be most avoided now is prematurely turning a short-term window into a long-term trend confirmation.

The U.S.-Iran framework is still in the preliminary arrangement stage. According to Axios, both sides have agreed to a 60-day ceasefire extension framework and may reopen the Strait of Hormuz. The market can trade on risk mitigation, but this does not mean the risk of the Hormuz has disappeared. Whether the ceasefire can continue, whether maritime arrangements are stable, and whether sanctions and nuclear issues will disrupt negotiations again will affect oil prices and risk appetite.

The validation of the AI hardware chain is also straightforward. In the upcoming Q2 earnings reports, investors need to see if large cloud providers' capital expenditures continue to increase, if AI server orders maintain strength, and if revenue guidance for photonics and memory companies continues to grow. As long as capital expenditure starts to be questioned, the elasticity of the high-valuation hardware chain will in turn become a a source of volatility.

Intel adds another layer of validation. Trump's statement is enough to trigger trading, but what truly affects valuation is the contract scale, product category, mass production timeline, and profit margin, rather than the "Made in America" narrative itself. Policy can create a pricing window but cannot replace financial realization.

This round of increase is more suitable to be understood as a selective risk preference correction: the cooling of macro risks opens a window, and funds prioritize the repurchase of AI hardware chain. It weakens the extreme judgment that "the AI transaction has ended," but it is still not enough to prove that the AI infrastructure cycle is accelerating again. The answer is not in the single-day increase but in whether capital expenditure, orders, and profit margins can continue to keep up.

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